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import face_recognition as fr
import cv2
import numpy as np
import ImageEncoder as ie
#load encoded images
# with open("Resource\\data.pickle",'rb')as f:
# face_known,face_enco_done = pickle.load(f)
def check(face,test_face):
face_known,face_enco_done=ie.img_enc(face)
face_loca = []
face_enco = []
face_name =[]
#to read video and capture attendance
img = cv2.imread(test_face)
#small_frame = cv2.resize(frame,(0,0),fx = 0.25,fy = 0.25)
rgb_frame = img#small_frame#[:,:,::-1]
if True:
face_loca = fr.face_locations(rgb_frame)
face_enco = fr.face_encodings(rgb_frame,face_loca)
face_name = []
for face_enc in face_enco:
matches = fr.compare_faces(face_enco_done,face_enc)
name = "Unknown_Unknown"
face_distance = fr.face_distance(face_enco_done,face_enc)
best_match = np.argmin(face_distance)
if matches[best_match]:
return True
else:
return False
# to add a box on the detected face
## for (top, right, bottom, left), name in zip(face_loca, face_name):
## # Draw a box around the face
## cv2.rectangle(frame, (left-20, top-20), (right+20, bottom+20), (255, 0, 0), 2)
##
## # Draw a label with a name below the face
## cv2.rectangle(frame, (left-20, bottom -15), (right+20, bottom+20), (255, 0, 0), cv2.FILLED)
## font = cv2.FONT_HERSHEY_DUPLEX
## cv2.putText(frame, name, (left -20, bottom + 15), font, 1.0, (255, 255, 255), 2)
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